Data Scientist

Data Scientist

Remote

6-month contract to hire

Business Objective:

Improve member engagement and campaign effectiveness using data-driven insights and machine learning

Translate analytical outputs into measurable business impact (ROI, KPIs)

Current State / Problem:

Existing ML models and campaigns need stronger ownership, productionization, and evaluation

Gaps in data quality validation and production readiness

Need for better linkage between data analysis and business impact

Desired Outcome:

Hire a senior-level data scientist who can independently build, deploy, and evaluate models while tying outputs to business outcomes

Improve campaign ideation, execution, and measurement with a stronger experimentation framework

Key Responsibilities

Design, build, and deploy machine learning models at production scale

Take ownership of existing ML models and improve performance and reliability

Develop and launch data-driven marketing campaigns

Partner with data engineers to productionize pipelines (DAGs, workflows)

Conduct campaign sizing and impact analysis (ROI, KPI development, assumptions)

Evaluate campaign effectiveness post-launch using proper experimentation methods

Translate ambiguous business problems into analytical approaches and solutions

Ensure data quality, validation, and production readiness of outputs

Identify new campaign opportunities and propose innovative data-driven ideas

Analyze model outputs and continuously optimize performance

Must Haves:

Strong SQL and Python (independent development required)

Experience building and deploying ML models in production environments

Experience with data pipelines and workflow orchestration (e.g., DAGs)

Working knowledge of cloud data platforms (Google Cloud Platform preferred)

Data validation, quality assurance, and production readiness practices

Experience with experimentation and A/B testing

Strong analytical thinking for sizing problems and estimating business impact

Ability to define and align on KPIs and success metrics

Experience evaluating model effectiveness

Strong business acumen (ability to connect data insights to business outcomes)

Ability to work with ambiguous, open-ended problems

Attention to detail (sanity checks, data validation)

Strong collaboration with cross-functional teams (engineering + business)

Proactive ideation and problem-solving mindset

Preferred Skills (Nice-to-Haves)

Healthcare domain experience (especially member engagement/use cases)

Prior campaign management or marketing analytics experience

Familiarity with Claude or AI-assisted workflows

Experience with campaign configuration platforms

Tech Stack

SQL

Python

Google Cloud Platform (Google Cloud Platform)

BigQuery

Vertex AI

DAG-based orchestration tools

Visual Studio

Claude (AI tooling, optional but desirable)